We propose an approach that bridges the gap between the visible and IR band of the
electromagnetic spectrum, namely the mid-wave infrared or MWIR (3–5\upmu m μ m) and …

Face detection is an important task in computer vision and often serves as the first step for a
variety of applications. State-of-the-art approaches use efficient learning algorithms and train …

In modern enterprises, customer data is valuable for identifying their behavioral patterns and
developing marketing strategies that can align with the preferences of different customers …

This paper presents a model to represent graphically the impact of cyber events (eg, attacks,
countermeasures) in a polygonal systems of n-sides. The approach considers information …

Landmark localization is one of the fundamental approaches to facial expressions
recognition, occlusions detection and face alignments. It plays a vital role in many …

Performing a direct match between images from different spectra (ie, passive infrared and
visible) is challenging because each spectrum contains different information pertaining to …

The favorable circumstances and requirements of getting to this data are sketchy in context
of the way that this examination may incorporate access and examination of remedial …

Face detection is an important task in computer vision and often serves as the first step for a
variety of applications. State-of-the-art approaches use efficient learning algorithms and train …

Face biometrics leverages tools and technology in order to automate the identification of
individuals. In most cases, biometric face recognition (FR) can be used for forensic …